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author:

Zheng, Feng (Zheng, Feng.) [1] | Zhang, Hongwei (Zhang, Hongwei.) [2] | Liu, Baojin (Liu, Baojin.) [3] | Liang, Ning (Liang, Ning.) [4] | Wang, Weidong (Wang, Weidong.) [5]

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Abstract:

Aiming at the circulating current problem of multi-parallel inverter system of isolated microgrid due to the inverter internal impedance mismatch and line impedance mismatch, the paper proposes an adaptive virtual complex impedance control strategy based on line impedance identification. The strategy introduces model predictive control in the current inner loop and two-degree-of-freedom control algorithm in the voltage outer loop of the inverter, and then constructs the line impedance identification link of each unit and introduces adaptive virtual complex impedance based on the identification results. The paper firstly eliminates the influence of the inverter inner impedance and improves its disturbance immunity through the voltage-current double-loop design, and secondly, the adaptive virtual complex impedance is introduced to eliminate the circulating current problem caused by the mismatch of the impedance of each unit line. The simulation results show that the proposed control strategy has the ability to effectively suppress the circulating current problem of the multi-inverter parallel system. © 2025 Power System Technology Press. All rights reserved.

Keyword:

Adaptive control systems Degrees of freedom (mechanics) Electric inverters Microgrids Model predictive control Predictive control systems

Community:

  • [ 1 ] [Zheng, Feng]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Hongwei]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Liu, Baojin]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 4 ] [Liang, Ning]School of Electric Power Engineering, Kunming University of Science and Technology, Yunnan Province, Kunming; 650500, China
  • [ 5 ] [Wang, Weidong]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China

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Source :

Power System Technology

ISSN: 1000-3673

Year: 2025

Issue: 5

Volume: 49

Page: 1972-1982

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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